 Search Engine
"Search Engine" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Software used to locate data or information stored in machine-readable form locally or at a distance such as an INTERNET site.
| Descriptor ID |
D057386
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| MeSH Number(s) |
L01.470.875
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| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Search Engine".
Below are MeSH descriptors whose meaning is more specific than "Search Engine".
This graph shows the total number of publications written about "Search Engine" by people in this website by year, and whether "Search Engine" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2009 | 0 | 1 | 1 | | 2011 | 1 | 0 | 1 | | 2013 | 2 | 1 | 3 | | 2015 | 2 | 0 | 2 | | 2016 | 1 | 0 | 1 | | 2019 | 0 | 1 | 1 | | 2021 | 0 | 1 | 1 |
To return to the timeline, click here.
Below are the most recent publications written about "Search Engine" by people in Profiles.
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Sivesind TE, Szeto MD, Kim W, Dellavalle RP. Google Trends in Dermatology: Scoping Review of the Literature. JMIR Dermatol. 2021 05 25; 4(1):e27712.
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Burns CS, Nix T, Shapiro RM, Huber JT. MEDLINE search retrieval issues: A longitudinal query analysis of five vendor platforms. PLoS One. 2021; 16(5):e0234221.
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Vargas T, Schiffman J, Lam PH, Kim A, Mittal VA. Using search engine data to gauge public interest in mental health, politics and violence in the context of mass shootings. PLoS One. 2020; 15(8):e0236157.
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Arehart CH, David MZ, Dukic V. Tracking U.S. Pertussis Incidence: Correlation of Public Health Surveillance and Google Search Data Varies by State. Sci Rep. 2019 12 24; 9(1):19801.
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Hill MK, Patel RR, Anand P, Dellavalle RP. Dermatology on Google. Dermatol Online J. 2018 Apr 15; 24(4).
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Mungall CJ, McMurry JA, K?hler S, Balhoff JP, Borromeo C, Brush M, Carbon S, Conlin T, Dunn N, Engelstad M, Foster E, Gourdine JP, Jacobsen JO, Keith D, Laraway B, Lewis SE, NguyenXuan J, Shefchek K, Vasilevsky N, Yuan Z, Washington N, Hochheiser H, Groza T, Smedley D, Robinson PN, Haendel MA. The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species. Nucleic Acids Res. 2017 01 04; 45(D1):D712-D722.
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Howe DG, Bradford YM, Eagle A, Fashena D, Frazer K, Kalita P, Mani P, Martin R, Moxon ST, Paddock H, Pich C, Ramachandran S, Ruzicka L, Schaper K, Shao X, Singer A, Toro S, Van Slyke C, Westerfield M. The Zebrafish Model Organism Database: new support for human disease models, mutation details, gene expression phenotypes and searching. Nucleic Acids Res. 2017 01 04; 45(D1):D758-D768.
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O'Gara PT, Parakh K, Rumsfeld JS. The ACC and Google: Engaging Patients to Promote Guideline-Based Care. J Am Coll Cardiol. 2016 08 23; 68(8):868-70.
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Druzinsky RE, Balhoff JP, Crompton AW, Done J, German RZ, Haendel MA, Herrel A, Herring SW, Lapp H, Mabee PM, Muller HM, Mungall CJ, Sternberg PW, Van Auken K, Vinyard CJ, Williams SH, Wall CE. Muscle Logic: New Knowledge Resource for Anatomy Enables Comprehensive Searches of the Literature on the Feeding Muscles of Mammals. PLoS One. 2016; 11(2):e0149102.
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Whetzel PL, Grethe JS, Banks DE, Martone ME. The NIDDK Information Network: A Community Portal for Finding Data, Materials, and Tools for Researchers Studying Diabetes, Digestive, and Kidney Diseases. PLoS One. 2015; 10(9):e0136206.
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